Research Progress of Radiomics in the Diagnosis of Pulmonary Nodules

LIU Yuting; LIU Aishi

doi:10.15953/j.ctta.2022.056

Volume 32 Issue 4

Jul. 2023

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CT Theory and Applications > 2023 > 32(4): 573-578. > DOI: 10.15953/j.ctta.2022.056

LIU Y T, LIU A S. Research Progress of Radiomics in the Diagnosis of Pulmonary Nodules[J]. CT Theory and Applications, 2023, 32(4): 573-578. DOI: 10.15953/j.ctta.2022.056. (in Chinese).

Citation:

LIU Y T, LIU A S. Research Progress of Radiomics in the Diagnosis of Pulmonary Nodules[J]. CT Theory and Applications, 2023, 32(4): 573-578. DOI: 10.15953/j.ctta.2022.056. (in Chinese).

Citation:

LIU Y T, LIU A S. Research Progress of Radiomics in the Diagnosis of Pulmonary Nodules[J]. CT Theory and Applications, 2023, 32(4): 573-578. DOI: 10.15953/j.ctta.2022.056. (in Chinese).

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Research Progress of Radiomics in the Diagnosis of Pulmonary Nodules

LIU Yuting^1,,
LIU Aishi^{1, 2, ,}

1.
Inner Mongolia Medical University, Hohhot 010000, China
2.
Department of Imaging Diagnosis, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010000, China

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Received Date: April 06, 2022
Revised Date: July 13, 2022
Accepted Date: July 26, 2022
Available Online: September 05, 2022
Published Date: July 30, 2023

Graphical Abstract

Abstract

Abstract

In recent years, with the continuous improvement of medical level, people pay more attention to their own health, pulmonary nodules and other space-occupying lesions can be detected earlier, but on a global scale, the number of deaths caused by malignant lung lesions Still rising and remaining high. Radiomics is an emerging field that aims to derive automated quantitative imaging features from medical images to noninvasively predict nodular and tumor behavior. Compared with traditional visual image features, radiomics can extract more nodular features with better reproducibility. The scientific and systematic use of radiomics can not only prevent excessive medical behaviors and reduce the economic burden of patients, but also enable patients with lung lesions to receive early treatment for the best prognosis.
- radiomics,
- pulmonary nodules,
- malignant pulmonary diease

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References

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Research Progress of Radiomics in the Diagnosis of Pulmonary Nodules

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